Usage Information
Citation Information: J Clin Invest. 1992;90(5):1864-1870. https://doi.org/10.1172/JCI116063.
Animal cell mutants represent two complementation groups of peroxisome-defective Zellweger syndrome.
Abstract
Generalized peroxisome-deficient disorders including cerebro-hepato-renal Zellweger syndrome, neonatal adrenoleukodystrophy, and infantile Refsum disease are autosomal recessive diseases, where catalase-containing particles (peroxisomes) are morphologically absent. We previously isolated two Chinese hamster ovary (CHO) cell mutants (Z24 and Z65) that resemble the fibroblasts from patients with such diseases, in their defective peroxisome assembly (Tsukamoto, T., S. Yokota, and Y. Fujiki. 1990. J. Cell Biol. 110:651-660). Here we report isolation by the P9OH/UV method of a peroxisome-deficient CHO mutant, ZP92, of the third complementation group distinct from those of Z24 and Z65. Peroxisomal membrane ghosts were noted by immunochemical staining in all of the CHO mutants. Complementation analysis by cell fusion of the CHO mutants with cultured fibroblasts from patients with generalized peroxisomal disorders revealed that two CHO mutants (Z24 and ZP92) represent the human complementation groups, E (the same as group 1 in the U.S.) and C (the same as group 4), respectively. These CHO cell mutants are an apparently relevant animal cell model for studies on the molecular bases and primary defects of human peroxisome-deficient diseases.
Authors
N Shimozawa, T Tsukamoto, Y Suzuki, T Orii, Y Fujiki
Usage data is cumulative from December 2022 through December 2023.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 39 | 0 |
| 9 | 11 | |
| Figure | 0 | 5 |
| Scanned page | 21 | 0 |
| Citation downloads | 10 | 0 |
| Totals | 79 | 16 |
| Total Views | 95 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
Copyright © 2023 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)